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    Configurational demographic predictors of work–nonwork satisfaction

    Access Status
    Fulltext not available
    Authors
    Farivar, F.
    Richardson, Julia
    Date
    2020
    Type
    Journal Article
    
    Metadata
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    Citation
    Farivar, F. and Richardson, J. 2020. Configurational demographic predictors of work–nonwork satisfaction. Human Resource Management Journal. 30 (1): pp. 133-148.
    Source Title
    Human Resource Management Journal
    DOI
    10.1111/1748-8583.12257
    ISSN
    0954-5395
    Faculty
    Faculty of Business and Law
    School
    School of Management
    URI
    http://hdl.handle.net/20.500.11937/80995
    Collection
    • Curtin Research Publications
    Abstract

    © 2019 John Wiley & Sons Ltd Contemporary work–life balance research tends to treat demographic variables as moderators, grouping variables, or control variables influencing work and nonwork satisfaction. Yet earlier theories were premised on the assumption that they are, in fact, predictors of work and nonwork satisfaction even though those assumptions have not yet been tested empirically. Drawing on an Australian study comprising 798 white-collar employees and using a fuzzy-set qualitative comparative analysis technique, we investigate demographic variables as potential configurational predictors affecting work–nonwork satisfaction, defined as a combination of work satisfaction and nonwork satisfaction. The analysis revealed different scenarios and specific patterns between configurational solution terms leading to work–nonwork satisfaction. Employment status and age of children (specifically age differences between children) were the most important demographic variables influencing employees' work–nonwork satisfaction.

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